Job Details

QA Analyst – Data & ML Focus

Contract: 12+ months, continuous extensions

Location: 100% Remote ET hours

Job Summary

We are seeking a QA Analyst to support an ML platform, focusing on full-stack and data-centric applications. This role bridges automation, data engineering, and machine learning (ML) operations, ensuring robust testing of production-grade applications and data pipelines. The ideal candidate will be technically proficient, business-savvy, and capable of working across teams to validate data integrity and application functionality.

Key Responsibilities

• Lead and execute QA testing across full-stack and data/ML applications.
• Translate business and functional requirements into test cases and validation strategies.
• Perform manual and automated testing, including ETL and source-to-target data validation.
• Collaborate with data engineers, data scientists, and QA teams to ensure quality across the SDLC.
• Validate SQL queries and Python scripts to ensure data accuracy and business logic alignment.
• Support QA efforts for applications transitioning from development to production.
• Recommend and implement appropriate testing tools and frameworks.

Required Skills & Tools

• SQL (Advanced) – Strong ability to write and validate complex queries.
• Python (Intermediate) – Comfortable reading, understanding, and modifying scripts.
• PostgreSQL – Experience with stored procedures, triggers, and data validation.
• Snowflake – Familiarity with querying and validating data in Snowflake.
• Testing Tools (Preferred Experience)
• QTest
• NeoLoad
• Tosca
• Katalon
• Selenium
• HP UFT (Unified Functional Testing)

Preferred Qualifications

• 2–3 years of QA experience in a production environment.
• Experience in data-centric QA roles (not just front-end testing).
• Familiarity with ML workflows and data pipelines.
• Ability to work independently and communicate effectively with technical and business stakeholders.
• Quick learner with a proactive mindset.

Required Skills : ***Ranked In Order*** Azure / CICD automation - YAML / Selenium / Qtest / Databricks / Complex SQL Queries / Python / SonarQube / CodeQL / integration with AI - ML applications

Basic Qualification :

Additional Skills :

100% remote AI/ML applications exposure Long-term

Background Check : Yes

Drug Screen : Yes